[nltk_data] Downloading package stopwords to /root/nltk_data... [nltk_data] Unzipping corpora/stopwords.zip.
This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.
Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.
The ten highest rated contributions for this round were the following:
| Avg. score | To | Reason |
|---|---|---|
| 77.6666666666667 | eenti | for all of the hard work he has put into the TEC! It's going to be a tough road ahead without him, but he has laid the groundwork for our Grants Program! Thank you so much! Go do big things in the space! |
| 66.3333333333333 | Tamarandom#9361 | for project managing the TEC Migration process to OP. Not an easy task, but it is going very smoothly! |
| 48.0 | Griff (💜,💜)#8888 | for being the leader that he is, and always being available to the TEC for advice and guidance as we move forward with the OP migration. |
| 48.0 | sem(🌸,🐝)#0161 | for planning the dress rehearsal and all the small details that go into it. |
| 43.6666666666667 | sem(🌸,🐝)#0161 | For providing a master class in infrastructure migration project management on the OP migration. Masterfully planned, managed, and executed. So much praise!!!! |
| 41.0 | sem(🌸,🐝)#0161 | for going through the TEC OP Migration work and working on the Smart-Contracts for OP! |
| 38.3333333333333 | ygg_anderson#4998 | for this great documentation on TQF! https://forum.1hive.org/t/water-shared-liquidity-proposal/5019/38 |
| 36.6666666666667 | Griff (💜,💜)#8888 | For providing a master class in infrastructure migration project management on the OP migration. Masterfully planned, managed, and executed. So much praise!!!! |
| 34.0 | ygg_anderson#4998 | for all the work on the data science front and TQF! Loved seeing the new look of the app and hope to use it soon |
| 29.6666666666667 | eenti | for all the time and effort you have invested into the TEC since you joined! I remember when we just joined the Transparency WG! All the best in your future endeavours! |
We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.
We can also take a look at the amount of praise different users gave.
Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.
Now let's take a closer look at the quantification process and the quantifiers:
To aid the revision process, we highlight disagreements between quantifiers.
This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.
Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .
Let's see how different quantifiers behaved by showing the range of praise scores they gave.
To interpret the box plot:
Bottom horizontal line of box plot is minimum value
First horizontal line of rectangle shape of box plot is First quartile or 25%
Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.
Third horizontal line of rectangle shape of box plot is third quartile or 75%
Top horizontal line of rectangle shape of box plot is maximum value.
Among 61 praises, 11 (18.03%) do not agree on duplication
Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.
Among 61 praises, 1 (1.64%) do not agree on dismissal
Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.